@article{fdi:010073155,
  title = {{T}he {A}m{P} project : comparing species on the basis of dynamic energy budget parameters},
  author = {{M}arques, {G}. {M}. and {A}ugustine, {S}. and {L}ika, {K}. and {P}ecquerie, {L}aure and {D}omingos, {T}. and {K}ooijman, {S}. {A}. {L}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e developed new methods for parameter estimation-in-context and, with the help of 125 authors, built the {A}m{P} ({A}dd-my-{P}et) database of {D}ynamic {E}nergy {B}udget ({DEB}) models, parameters and referenced underlying data for animals, where each species constitutes one database entry. {T}he combination of {DEB} parameters covers all aspects of energetics throughout the full organism's life cycle, from the start of embryo development to death by aging. {T}he species-specific parameter values capture biodiversity and can now, for the first time, be compared between animals species. {A}n important insight brought by the {A}m{P} project is the classification of animal energetics according to a family of related {DEB} models that is structured on the basis of the mode of metabolic acceleration, which links up with the development of larval stages. {W}e discuss the evolution of metabolism in this context, among animals in general, and ray-finned fish, mollusks and crustaceans in particular. {N}ew {DEB}tool code for estimating {DEB} parameters from data has been written. {A}m{P}tool code for analyzing patterns in parameter values has also been created. {A} new web-interface supports multiple ways to visualize data, parameters, and implied properties from the entire collection as well as on an entry by entry basis. {T}he {DEB} models proved to fit data well, the median relative error is only 0.07, for the 1035 animal species at 2018/03/ 12, including some extinct ones, from all large phyla and all chordate orders, spanning a range of body masses of 16 orders of magnitude. {T}his study is a first step to include evolutionary aspects into parameter estimation, allowing to infer properties of species for which very little is known.},
  keywords = {},
  booktitle = {},
  journal = {{PL}o{S} {C}omputational {B}iology},
  volume = {14},
  numero = {5},
  pages = {art. e1006100 [23 ]},
  ISSN = {1553-7358},
  year = {2018},
  DOI = {10.1371/journal.pcbi.1006100},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073155},
}